Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "138" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 52 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 50 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459867 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.709346 | -0.148480 | -0.002758 | 1.746713 | -1.033879 | -1.029667 | 9.607988 | -0.685390 | 0.7001 | 0.6828 | 0.4046 | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.845206 | -0.427061 | 3.847836 | 5.829987 | -1.209945 | -0.543290 | 4.602978 | -0.518893 | 0.7003 | 0.6820 | 0.3961 | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.361544 | 0.066121 | 0.318819 | 2.079863 | -0.914480 | 0.098395 | 6.711490 | -0.042875 | 0.7213 | 0.7012 | 0.3640 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.120758 | -1.323172 | 3.057337 | 2.227798 | -1.070590 | -0.937726 | 14.725589 | 0.308492 | 0.6899 | 0.6738 | 0.4159 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.143243 | -0.216740 | 0.525722 | 0.422419 | -0.438595 | 1.149178 | 6.837727 | -0.402800 | 0.6864 | 0.6660 | 0.4042 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.130624 | 0.058720 | 0.643211 | 0.064817 | -0.718277 | -1.072621 | 4.340631 | -0.400721 | 0.6723 | 0.6906 | 0.4150 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.132676 | -0.111123 | 0.346755 | 0.061303 | -1.053881 | -0.869904 | 4.347106 | -0.721646 | 0.7054 | 0.6734 | 0.4172 | nan | nan |
| 2459859 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.176135 | -0.143857 | 0.517031 | 0.735426 | 0.155192 | 0.857435 | 2.504227 | -0.137927 | 0.7125 | 0.6828 | 0.4103 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.361633 | 0.099512 | 1.189668 | 1.313844 | -0.032876 | 1.454798 | 5.483074 | -0.419751 | 0.7200 | 0.6860 | 0.4233 | 2.937621 | 2.626855 |
| 2459857 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.137878 | -0.183953 | -0.542131 | -0.679010 | -0.949906 | -0.346552 | -0.044816 | -0.716988 | 0.0253 | 0.0253 | 0.0003 | nan | nan |
| 2459856 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.549700 | 0.137049 | 2.164794 | 1.876584 | -1.261350 | -0.303317 | 2.529934 | -0.756741 | 0.7120 | 0.7011 | 0.4082 | 3.494616 | 2.776697 |
| 2459855 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.277799 | 0.074848 | 0.100029 | -0.214892 | -1.096745 | -0.451399 | 2.071141 | -0.831979 | 0.6962 | 0.7215 | 0.4374 | 3.899303 | 2.954073 |
| 2459854 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.170586 | 0.062828 | 1.248176 | 1.000537 | -1.161701 | -0.354817 | 2.713617 | -0.705234 | 0.7125 | 0.7421 | 0.4457 | 3.365830 | 2.738469 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.274340 | 0.445834 | -0.484529 | -0.621581 | -1.049872 | -0.443618 | 5.307876 | -0.747477 | 0.7374 | 0.6940 | 0.4319 | 3.371363 | 2.773665 |
| 2459852 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.229178 | 0.673269 | -0.298632 | -0.613349 | -1.570399 | -0.388866 | -0.052671 | -0.269324 | 0.8200 | 0.8314 | 0.2533 | 5.714066 | 5.569837 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.449190 | -0.300371 | 1.398647 | 1.420355 | -0.480258 | 0.559259 | 5.735296 | 0.807283 | 0.7352 | 0.7549 | 0.3634 | 3.778305 | 2.763885 |
| 2459849 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.776430 | 0.676235 | -0.401895 | -0.431281 | -1.017611 | 0.457712 | 2.699823 | -0.902909 | 0.7357 | 0.7461 | 0.3662 | 4.511725 | 3.461256 |
| 2459848 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.270550 | 0.856619 | -0.787081 | -0.943554 | -0.695391 | -0.924531 | 3.520121 | -0.883742 | 0.7148 | 0.7516 | 0.3870 | 3.795305 | 3.148140 |
| 2459847 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.276993 | 0.947304 | -0.586038 | -0.677592 | -0.792209 | -0.861488 | 3.763229 | -0.954780 | 0.7233 | 0.6876 | 0.4362 | 10.011796 | 7.427369 |
| 2459846 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.783086 | 0.719264 | -0.770470 | -0.363511 | -0.686454 | 0.743720 | 1.812772 | -0.979451 | 0.8347 | 0.6577 | 0.5040 | 3.211723 | 2.479178 |
| 2459845 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459843 | RF_maintenance | 0.00% | 1.20% | 0.66% | 0.00% | 100.00% | 0.00% | 0.817217 | 0.239082 | -0.870835 | 1.895760 | -1.186089 | 1.416564 | 1.034579 | -0.676374 | 0.7388 | 0.7375 | 0.3987 | 3.305617 | 2.469378 |
| 2459840 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.772016 | -0.121039 | -2.830810 | -3.077273 | -0.824078 | -1.423991 | -1.024337 | -2.089515 | 0.0238 | 0.0238 | 0.0006 | nan | nan |
| 2459839 | RF_maintenance | 0.00% | - | - | - | - | - | -0.402066 | -0.456006 | 2.528974 | 2.865776 | 0.650353 | -0.239435 | 3.562828 | 1.686452 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.844283 | 0.057394 | -0.752635 | 2.381766 | -1.315617 | -0.196722 | 1.410383 | -0.935351 | 0.7531 | 0.7175 | 0.4141 | 4.785383 | 3.450703 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0318 | 0.0327 | 0.0008 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.523138 | -1.381900 | 1.271631 | 0.050595 | -1.238888 | -0.720539 | 0.008995 | -1.125071 | 0.0329 | 0.0328 | 0.0005 | nan | nan |
| 2459833 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.673905 | 1.281688 | -0.833620 | -0.462792 | -0.800794 | -0.796616 | 2.231326 | -1.340636 | 0.0282 | 0.0274 | 0.0006 | nan | nan |
| 2459832 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.055082 | -0.757047 | 1.881272 | 0.333327 | -1.586033 | 0.294947 | 1.709772 | -1.031858 | 0.8139 | 0.5485 | 0.5774 | 4.088773 | 3.281312 |
| 2459831 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.700390 | -0.708992 | -0.839358 | -0.798532 | 3.263841 | 2.606010 | -0.036936 | -0.742624 | 0.0651 | 0.0673 | 0.0059 | nan | nan |
| 2459830 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.792266 | 0.030077 | 2.958545 | 0.786471 | -0.627024 | -1.177949 | 3.200038 | -1.051820 | 0.8157 | 0.5693 | 0.5538 | 7.463666 | 5.636934 |
| 2459829 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.615762 | 0.930731 | 3.188505 | 0.864952 | 37.055277 | 3.664983 | 3.092266 | -0.586977 | 0.7648 | 0.6806 | 0.4164 | 0.000000 | 0.000000 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.727552 | 0.873150 | 12.429921 | 0.973279 | 16.785367 | -0.551278 | -2.878288 | -0.122672 | 0.8091 | 0.5745 | 0.5367 | 3.943731 | 2.923006 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.993870 | 1.893618 | 26.254453 | -0.343813 | 24.829431 | -0.207815 | -0.188174 | -0.476424 | 0.7585 | 0.6706 | 0.4276 | 6.973083 | 4.987131 |
| 2459826 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.206078 | 0.389185 | 17.711132 | -0.905882 | 20.141949 | -1.245892 | -0.927277 | -0.264778 | 0.7913 | 0.5827 | 0.5168 | 4.211425 | 3.561608 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.374105 | 0.527486 | 24.783336 | -0.741925 | 6.553615 | -0.586944 | -1.856817 | -0.584333 | 0.7247 | 0.7316 | 0.3885 | 5.698628 | 5.001158 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.368590 | 0.792545 | 19.036542 | -0.352842 | 24.468788 | -0.786779 | 11.562021 | -0.259351 | 0.7639 | 0.6401 | 0.4796 | 3.126501 | 3.177069 |
| 2459822 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 17.669345 | 1.709154 | 21.576130 | -0.534402 | 20.589476 | -1.532943 | -1.887477 | -0.804438 | 0.7858 | 0.6094 | 0.5166 | 3.501223 | 3.291127 |
| 2459820 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.441093 | 1.707480 | 24.653429 | 0.714655 | 48.232261 | -0.178141 | -2.380638 | -0.177876 | 0.7657 | 0.6728 | 0.4364 | 4.524444 | 4.078605 |
| 2459817 | RF_maintenance | 100.00% | 100.00% | 65.05% | 0.00% | 100.00% | 0.00% | 25.959663 | 28.864485 | 34.763635 | 1.720314 | 36.683787 | 35.317914 | 1.543214 | 0.945494 | 0.0489 | 0.4163 | 0.2274 | 1.281499 | 2.737314 |
| 2459816 | RF_maintenance | 100.00% | 100.00% | 37.74% | 0.00% | 100.00% | 0.00% | 20.614992 | 21.307393 | 33.734515 | 2.233440 | 47.082540 | 40.869758 | 8.320377 | 5.493717 | 0.0480 | 0.4231 | 0.2650 | 1.268455 | 3.873091 |
| 2459815 | RF_maintenance | 100.00% | 100.00% | 51.61% | 0.00% | 100.00% | 0.00% | 24.055695 | 16.854924 | 37.957484 | 0.835555 | 48.043612 | 48.654400 | 11.602949 | 11.565582 | 0.0477 | 0.4568 | 0.2791 | 1.287841 | 3.657963 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 35.870985 | 3.568868 | 24.219904 | 0.659871 | 84.597274 | -0.715107 | 9.184213 | 0.045012 | 0.0508 | 0.6839 | 0.3637 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 9.607988 | 0.709346 | -0.148480 | -0.002758 | 1.746713 | -1.033879 | -1.029667 | 9.607988 | -0.685390 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Power | 5.829987 | -0.427061 | 0.845206 | 5.829987 | 3.847836 | -0.543290 | -1.209945 | -0.518893 | 4.602978 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 6.711490 | 1.361544 | 0.066121 | 0.318819 | 2.079863 | -0.914480 | 0.098395 | 6.711490 | -0.042875 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 14.725589 | -1.323172 | -0.120758 | 2.227798 | 3.057337 | -0.937726 | -1.070590 | 0.308492 | 14.725589 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 6.837727 | 0.143243 | -0.216740 | 0.525722 | 0.422419 | -0.438595 | 1.149178 | 6.837727 | -0.402800 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 4.340631 | 0.130624 | 0.058720 | 0.643211 | 0.064817 | -0.718277 | -1.072621 | 4.340631 | -0.400721 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 4.347106 | 0.132676 | -0.111123 | 0.346755 | 0.061303 | -1.053881 | -0.869904 | 4.347106 | -0.721646 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.504227 | 0.176135 | -0.143857 | 0.517031 | 0.735426 | 0.155192 | 0.857435 | 2.504227 | -0.137927 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 5.483074 | 0.099512 | 0.361633 | 1.313844 | 1.189668 | 1.454798 | -0.032876 | -0.419751 | 5.483074 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | -0.044816 | -0.183953 | -0.137878 | -0.679010 | -0.542131 | -0.346552 | -0.949906 | -0.716988 | -0.044816 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.529934 | 0.549700 | 0.137049 | 2.164794 | 1.876584 | -1.261350 | -0.303317 | 2.529934 | -0.756741 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.071141 | 0.074848 | 0.277799 | -0.214892 | 0.100029 | -0.451399 | -1.096745 | -0.831979 | 2.071141 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.713617 | 0.062828 | 0.170586 | 1.000537 | 1.248176 | -0.354817 | -1.161701 | -0.705234 | 2.713617 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 5.307876 | 0.445834 | 0.274340 | -0.621581 | -0.484529 | -0.443618 | -1.049872 | -0.747477 | 5.307876 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | 0.673269 | 0.229178 | 0.673269 | -0.298632 | -0.613349 | -1.570399 | -0.388866 | -0.052671 | -0.269324 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 5.735296 | 0.449190 | -0.300371 | 1.398647 | 1.420355 | -0.480258 | 0.559259 | 5.735296 | 0.807283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.699823 | 0.776430 | 0.676235 | -0.401895 | -0.431281 | -1.017611 | 0.457712 | 2.699823 | -0.902909 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 3.520121 | 0.856619 | 1.270550 | -0.943554 | -0.787081 | -0.924531 | -0.695391 | -0.883742 | 3.520121 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 3.763229 | 0.947304 | 1.276993 | -0.677592 | -0.586038 | -0.861488 | -0.792209 | -0.954780 | 3.763229 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 1.812772 | 0.783086 | 0.719264 | -0.770470 | -0.363511 | -0.686454 | 0.743720 | 1.812772 | -0.979451 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Power | 1.895760 | 0.239082 | 0.817217 | 1.895760 | -0.870835 | 1.416564 | -1.186089 | -0.676374 | 1.034579 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | -0.121039 | -0.772016 | -0.121039 | -2.830810 | -3.077273 | -0.824078 | -1.423991 | -1.024337 | -2.089515 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 3.562828 | -0.456006 | -0.402066 | 2.865776 | 2.528974 | -0.239435 | 0.650353 | 1.686452 | 3.562828 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Power | 2.381766 | 0.057394 | 0.844283 | 2.381766 | -0.752635 | -0.196722 | -1.315617 | -0.935351 | 1.410383 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Power | 1.271631 | -1.381900 | 0.523138 | 0.050595 | 1.271631 | -0.720539 | -1.238888 | -1.125071 | 0.008995 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 2.231326 | 1.281688 | -0.673905 | -0.462792 | -0.833620 | -0.796616 | -0.800794 | -1.340636 | 2.231326 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Power | 1.881272 | 0.055082 | -0.757047 | 1.881272 | 0.333327 | -1.586033 | 0.294947 | 1.709772 | -1.031858 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 3.263841 | -0.700390 | -0.708992 | -0.839358 | -0.798532 | 3.263841 | 2.606010 | -0.036936 | -0.742624 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Discontinuties | 3.200038 | 0.792266 | 0.030077 | 2.958545 | 0.786471 | -0.627024 | -1.177949 | 3.200038 | -1.051820 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 37.055277 | 0.930731 | 1.615762 | 0.864952 | 3.188505 | 3.664983 | 37.055277 | -0.586977 | 3.092266 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 16.785367 | 0.873150 | 5.727552 | 0.973279 | 12.429921 | -0.551278 | 16.785367 | -0.122672 | -2.878288 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Power | 26.254453 | 6.993870 | 1.893618 | 26.254453 | -0.343813 | 24.829431 | -0.207815 | -0.188174 | -0.476424 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 20.141949 | 0.389185 | 13.206078 | -0.905882 | 17.711132 | -1.245892 | 20.141949 | -0.264778 | -0.927277 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Power | 24.783336 | 6.374105 | 0.527486 | 24.783336 | -0.741925 | 6.553615 | -0.586944 | -1.856817 | -0.584333 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 24.468788 | 0.792545 | 16.368590 | -0.352842 | 19.036542 | -0.786779 | 24.468788 | -0.259351 | 11.562021 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Power | 21.576130 | 1.709154 | 17.669345 | -0.534402 | 21.576130 | -1.532943 | 20.589476 | -0.804438 | -1.887477 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 48.232261 | 9.441093 | 1.707480 | 24.653429 | 0.714655 | 48.232261 | -0.178141 | -2.380638 | -0.177876 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 36.683787 | 25.959663 | 28.864485 | 34.763635 | 1.720314 | 36.683787 | 35.317914 | 1.543214 | 0.945494 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 47.082540 | 21.307393 | 20.614992 | 2.233440 | 33.734515 | 40.869758 | 47.082540 | 5.493717 | 8.320377 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Temporal Variability | 48.654400 | 16.854924 | 24.055695 | 0.835555 | 37.957484 | 48.654400 | 48.043612 | 11.565582 | 11.602949 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 138 | N07 | RF_maintenance | ee Temporal Variability | 84.597274 | 3.568868 | 35.870985 | 0.659871 | 24.219904 | -0.715107 | 84.597274 | 0.045012 | 9.184213 |